Evidence map›Paper›PMID 40307727›Full record

ArticleBMC public health2025

Hearing loss and cognitive impairment among older adults: findings from the China health and retirement longitudinal study.

Qin Zhao, Fei Chen, Xiaozhen Song, Yan Cai, Yue Wu, Yang Wan, Peiyuan Qiu

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Observational
  5. [Current status and future perspectives on age-related hearing loss and cognitive impairment].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2026
    Review
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Qin ZhaoWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Fei ChenWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Xiaozhen SongMental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yan CaiEvidence-Based Nursing Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yue WuWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Yang WanDepartment of Geriatrics, School of Public Health and West China Fourth Hospital, Sichuan University, No. 17, 3 Section, South Renmin Road, Chengdu, West China, China. wanyang2014@scu.edu.cn.
Peiyuan QiuWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China. qiupeiyuan@scu.edu.cn.

Funding

National Natural Science Foundation of China 72174133Natural Science Foundation of Sichuan Province 2022NSFSC0668
6 · The paper itself

Abstract

backgroundWith the rapid aging of populations, dementia has become a major health problem. Hearing loss is common among older adults and has been recognized as a contributing factor to cognitive impairment and dementia. We aimed to explore the association between hearing loss and cognitive impairment in older adults. We also sought to quantify the extent to which the impact of hearing loss on cognitive impairment could be mediated by depression and social isolation.

methodsWe used nationally representative data from the China Health and Retirement Longitudinal Study (CHARLS), a population-based cohort study. The study population comprised adults aged 60 and older who participated in at least two waves of the CHARLS. Cognitive function was measured based on four dimensions: orientation, computation, memory, and drawing. Hearing loss was defined according to self-reported data. We used logistic regression models to analyze the cross-sectional association between hearing loss and cognitive impairment. Cox proportional hazards models were used to examine the longitudinal association between hearing loss and cognitive impairment. We also conducted an in-depth analysis of the severity of hearing loss and its associated risk of cognitive impairment. Additionally, we calculated the percentage of excess risk mediated (PERM) by depression and social isolation.

findingsIn total, 7891 individuals were included in the cross-sectional analysis, and 5326 were included in the longitudinal analysis, with a mean follow-up of 6.38 years. In the cross-sectional analysis, hearing loss was associated with cognitive impairment after adjusting for all covariates (OR = 1.76, 95% CI: 1.49-2.08). In the longitudinal analysis, the hazard ratio for cognitive impairment with hearing loss compared with no hearing loss was 1.24 (95% CI: 1.06-1.46) after adjustment for demographics, socioeconomic factors, and health-related behaviors. Further analysis revealed that moderate or severe hearing loss had a strong relationship with cognitive impairment after adjusting for covariates (HR = 1.32, 95% CI: 1.07-1.62). Of the total association between hearing loss and cognitive impairment, 20.83% was mediated by depression and 4.17% by social isolation.

conclusionsHearing loss is independently associated with cognitive impairment, providing evidence that addressing hearing loss could help improve cognitive function.

Indexed as

Cognitive DysfunctionHearing LossAgedAged, 80 and overChinaCross-Sectional StudiesDepressionFemaleHumansLongitudinal StudiesMaleMiddle AgedRisk FactorsSocial IsolationCHARLSCognitive impairmentDepressionHearing lossSocial isolation

Identifiers

PMID40307727
PMCPMC12042542

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.